Remove 2034 Remove Data Science Remove Predictive Analytics
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Must Know Differences Between Data Science and Data Analytics

Pickl AI

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Exalytics, Exalogic, and Exadata

Pickl AI

million by 2034, growing at an impressive CAGR of 14.2%. Recent updates focus on hybrid cloud capabilities, enabling seamless data movement between on-premises systems and cloud environments. The Oracle services market’s robust growth underscores these systems’ significance. Valued at USD 17,414.36